Building Capsule networks in TensorFlow

Now we will learn how to implement Capsule networks in TensorFlow. We will use our favorite MNIST dataset to learn how a Capsule network recognizes the handwritten image.

Import the required libraries:

import warnings
warnings.filterwarnings('ignore')

import numpy as np
import tensorflow as tf

from tensorflow.examples.tutorials.mnist import input_data
tf.logging.set_verbosity(tf.logging.ERROR)

Load the MNIST dataset:

mnist = input_data.read_data_sets("data/mnist",one_hot=True)

Defining the squash function

We learned that the squash function converts the length of the vector into probability, and it is given as follows:

The squash function can be defined as follows:

def...